Microservices Patterns

← Back to System Design 101 | ← Previous: API Design

Introduction

Moving from monolith to microservices was one of my most challenging architectural transitions. While microservices offer scalability and team autonomy, they introduce significant complexity. This article covers the patterns I've successfully used in production microservices architectures.

Service Decomposition

When to Use Microservices

Good candidates:

  • Large teams (>50 engineers) working on same codebase

  • Different components needing independent scaling

  • Services with distinct deployment cadences

  • Teams wanting technology diversity

Stay with monolith if:

  • Small team (<10 engineers)

  • Early-stage product with rapidly changing requirements

  • Simple domain that fits in one codebase

  • Team lacks distributed systems expertise

Domain-Driven Design

Inter-Service Communication

Synchronous (HTTP/gRPC)

Asynchronous (Message Queue)

Circuit Breaker Pattern

Service Discovery

API Gateway Pattern

Saga Pattern (Distributed Transactions)

Lessons Learned

What worked:

  1. Start with monolith, extract services as needed

  2. Event-driven architecture for loose coupling

  3. Circuit breakers for resilience

  4. API gateway for centralized concerns

  5. Comprehensive monitoring and tracing

What didn't work:

  1. Micro-services from day one (premature optimization)

  2. Synchronous calls everywhere (created tight coupling)

  3. No circuit breakers (cascading failures)

  4. Shared databases between services

  5. Inconsistent logging formats

What's Next

Understanding microservices, let's explore distributed systems fundamentals:


Navigation:

Last updated